Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • kajot
    Member
    • Dec 2013
    • 16

    #1

    Subread low percentage of assigned fragments in ENCODE data

    Hi there guys!


    I am using Subread v1.5.0-p1 to get tables of counts for RNAseq data I got from ENCODE (https://www.encodeproject.org/experiments/ENCSR000BYX/).
    What I am trying to get are counts for genes (using reads assigned to exons) since I want to ultimately turn the numbers into FPKM or TPM.

    However, I am getting around 13% of successfully assigned reads:

    || Total fragments : 72502756 ||
    || Successfully assigned fragments : 9324091 (12.9%) ||
    || Running time : 2.20 minutes ||

    This doesn't sound right to me, I am used to getting 50-75% of reads assigned in RNAseq, using HTseq + DESeq2. I don't expect ENCODE data to be of poor quality so I think it's something on my side.

    I tried all the combinations of fr-firststrand, fr-secondstrand, rf-firststrand, rf-secondstrand etc. Nothing gives me higher values than those 13%.
    Using GENCODE M3 annotation gtf since the data was originally aligned to mm9.
    This is a paired-end library from Illumina GAIIx sequencer.

    Any tips ?
  • shi
    Wei Shi
    • Feb 2010
    • 236

    #2
    Could you show the content of the ".summary" file which was part of featureCounts output?

    Comment

    • kajot
      Member
      • Dec 2013
      • 16

      #3
      I found the problem, I was using wrong GTF annotation, should've used GENCODE mouse M1 since vM3 is built on mm10...

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        How Immunogenomics Decodes Immunity’s Genetic Blueprint
        by SEQadmin2




        The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.

        This convergence of genetics, immunology, and computation...
        Yesterday, 05:41 AM
      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        07-31-2026, 11:01 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 08-24-2026, 10:32 AM
      0 responses
      42 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-20-2026, 11:17 AM
      0 responses
      48 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-18-2026, 10:05 AM
      0 responses
      55 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-13-2026, 12:22 PM
      0 responses
      50 views
      0 reactions
      Last Post SEQadmin2  
      Working...